Predictive Value of Subacute Heart Rate Variability for Determining Outcome Following Adolescent Concussion

Objective assessments of concussion recovery are crucial for facilitating effective clinical management. However, predictive tools for determining adolescent concussion outcomes are currently limited. Research suggests that heart rate variability (HRV) represents an indirect and objective marker of central and peripheral nervous system integration. Therefore, it may effectively identify underlying deficits and reliably predict the symptomology following concussion. Thus, the present study sought to evaluate the relationship between HRV and adolescent concussion outcomes. Furthermore, we sought to examine its predictive value for assessing outcomes. Fifty-five concussed adolescents (12–17 years old) recruited from a local sports medicine clinic were assessed during the initial subacute evaluation (within 15 days postinjury) and instructed to follow up for a post-acute evaluation. Self-reported clinical and depressive symptoms, neurobehavioral function, and cognitive performance were collected at each timepoint. Short-term HRV metrics via photoplethysmography were obtained under resting conditions and physiological stress. Regression analyses demonstrated significant associations between HRV metrics, clinical symptoms, neurobehavioral function, and cognitive performance at the subacute evaluation. Importantly, the analyses illustrated that subacute HRV metrics significantly predicted diminished post-acute neurobehavioral function and cognitive performance. These findings indicate that subacute HRV metrics may serve as a viable predictive biomarker for identifying underlying neurological dysfunction following concussion and predict late cognitive outcomes.

Download Full-text

249 Overnight heart rate variability depends on age, gender, and day of the week: a field observation using a smart bed platform

SLEEP ◽

10.1093/sleep/zsab072.248 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A100-A101

Author(s):

Shawn Barr ◽

Kwanghyun Sohn ◽

Gary Garcia

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Physiological Stress ◽

Large Population ◽

Population Level ◽

Large Set ◽

Sleep State ◽

Cross Sectional ◽

Day Of The Week ◽

Broad Interest

Abstract Introduction Heart rate variability (HRV) is commonly used to assess the activity of the autonomic nervous system (ANS). ANS function changes, reflected in HRV, result from factors including lifestyle, aging, cardiorespiratory illnesses, sleep state, and physiological stress. Despite broad interest in HRV, few studies have established normative overnight HRV values for a large population. To better understand population level HRV changes, ecologically-valid, overnight sleep SDNN (standard deviation of all normal heartbeat intervals, lower HRV is reflected by lower SDNN) values have been analyzed for a large sample of Sleep Number 360 smart bed users. Methods Overnight SDNN values were obtained over the course of 18.2M sleep sessions from 379,225 sleepers (48 ± 14.7 sessions/user). 50.9 percent of sleepers were female. The age was normally distributed with mean ± SD of 52.8 ± 12.7 years (range 21 to 84). Heartbeat intervals used to compute SDNN were extracted from a ballistocardiogram (BCG). BCG-based HRV estimation during sleep has previously been validated against ECG-based HRV with an R-square of 0.5. Results Using a Generalized Linear Model, significant cross-sectional associations with SDNN were observed for three variables of interest: age, gender, and day-of-the-week. For sleepers under 50, SDNN declined at a rate of about 2.1 ms/year, then leveled off for sleepers aged 50-65, and increased slightly thereafter. Women under 50 displayed lower, more slowly declining, SDNN values than men, but this trend reversed for sleepers over 50. Throughout the week, SDNN values followed a U-shaped (women) or L-shaped (men) pattern, where values were highest during the weekend and lowest at mid-week. Conclusion Using a smart bed to unobtrusively measure overnight SDNN values for a large set of sleepers in an ecologically valid environment, reveals significant effects of age, gender, and day of the week on overnight SDNN. Support (if any):

Download Full-text

Autonomic and Perceptual Responses to Induction of a Ketogenic Diet in Free-Living Endurance Athletes: A Randomized, Crossover Trial

International Journal of Sports Physiology and Performance ◽

10.1123/ijspp.2020-0814 ◽

2020 ◽

pp. 1-7

Author(s):

Ed Maunder ◽

Deborah K. Dulson ◽

David M. Shaw

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Exercise Capacity ◽

Ketogenic Diet ◽

Physiological Stress ◽

Endurance Performance ◽

Endurance Athletes ◽

Recovery Stress ◽

Individual Level ◽

Dietary Shift

Purpose: Considerable interindividual heterogeneity has been observed in endurance performance responses following induction of a ketogenic diet (KD). It is plausible that a physiological stress response in the period following the dramatic dietary shift associated with transition to a KD may explain this heterogeneity. Methods: In a randomized, crossover study design, 8 trained male runners completed an incremental exercise test and ran to exhaustion at 70%VO2max before and after a 31-day rigorously controlled habitual diet or KD intervention, and recorded heart rate variability (root mean square of the sum of successive differences in R–R intervals [rMSSD]) upon waking each morning along with the recovery–stress questionnaire for athletes each week. Data were analyzed using linear mixed models. Results: A significant reduction in rMSSD was observed in the KD (−9.77 [4.03] ms, P = .02), along with an increase in day-to-day variability in rMSSD (2.1% [1.0%], P = .03). The reduction in rMSSD in the KD for the subgroup of individuals exhibiting impaired exercise capacity following induction of the KD approached significance (Δ −22 [15] ms, P = .06, N = 4); whereas no effect was observed in those who exhibited unchanged exercise capacity (Δ 5 [18] ms, P = .61, N = 4). No main effects were observed for recovery–stress questionnaire for athletes. Conclusions: Our data suggest those working with endurance athletes transitioning onto a KD may consider using noninvasive, inexpensive resting heart rate variability measures to gain individual-level insights into the likely short-term effects on exercise capacity.

Download Full-text

Abstract P301: Heart Rate Variability is Associated with Future Global Cognitive Performance: the Multi-Ethnic Study of Atherosclerosis

Hypertension ◽

10.1161/hyp.72.suppl_1.p301 ◽

2018 ◽

Vol 72 (Suppl_1) ◽

Author(s):

Chris Schaich ◽

Diego Malaver ◽

Hossam A Shaltout ◽

Adina Zeki Al Hazzouri ◽

David M Herrington ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Cognitive Performance ◽

Ethnic Study

Download Full-text

The predictive value of heart rate variability indices tested in early period after radiofrequency catheter ablation for the recurrence of atrial fibrillation

Journal of Cardiovascular Electrophysiology ◽

10.1111/jce.14448 ◽

2020 ◽

Vol 31 (6) ◽

pp. 1350-1355

Author(s):

Zhenyan Zhu ◽

Weiming Wang ◽

Yamin Cheng ◽

Xiaoqing Wang ◽

Jianhui Sun

Keyword(s):

Atrial Fibrillation ◽

Heart Rate ◽

Heart Rate Variability ◽

Catheter Ablation ◽

Predictive Value ◽

Radiofrequency Catheter Ablation ◽

Early Period

Download Full-text

What Is the Predictive Value of Heart Rate Variability and Baroreflex Sensitivity?

Cardiac Arrhythmias 1997 ◽

10.1007/978-88-470-2288-1_25 ◽

1998 ◽

pp. 188-197

Author(s):

R. F. E. Pedretti

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Predictive Value ◽

Baroreflex Sensitivity

Download Full-text

Heart rate variability analysis and neurobehavioral function in community-dwelling older people aged 75 or older.

Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics ◽

10.3143/geriatrics.39.520 ◽

2002 ◽

Vol 39 (5) ◽

pp. 520-526 ◽

Cited By ~ 3

Author(s):

Shogo Murakami ◽

Takashi Yamanaka ◽

Yutaka Kubo ◽

Taizo Wada ◽

Shoki Yano ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Older People ◽

Community Dwelling ◽

Heart Rate Variability Analysis ◽

Variability Analysis ◽

Neurobehavioral Function ◽

Community Dwelling Older People

Download Full-text

Classification of Individuals Based on Autonomic Response to Virtual Gaming

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2020.9082 ◽

2020 ◽

Vol 17 (9) ◽

pp. 4385-4393

Author(s):

S. Chandana ◽

B. R. Purnima ◽

Prabhu Ravikala Vittal

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Nervous System ◽

Autonomic Nervous System ◽

Physiological Stress ◽

Rio Grande ◽

The Body ◽

Autonomic Response ◽

Autonomic Nervous ◽

Non Invasive

Modern games consists of digital gaming consoles that involves interaction with a user and has an interface to generate visual feedback through 2D/3D monitor. These games have several psychological side effects like loss of spatial awareness, back pains, insomnia, addiction, aggression, stress, and hypertension. Virtual reality (VR) Gaming is one of the most emerging and novel technologies in the field of entertainment. Evaluation of this new technology has become important in order to analyze the effects of its predecessors (2D and 3D gaming). The main focus of this paper is on detection of stress levels in individuals due to VR gaming and classify them depending on their sympathetic and parasympathetic dominance. This is done through acquisition of electrocardiogram (ECG) and photo plethysmograph signals (PPG) signals and extracting their time domain and frequency domain features before, during and after gaming (Fatma Uysal and Mahmut Tokmakçi, 2018. Evaluation of stress parameters based on heart rate variability measurement. Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey. [email protected], [email protected]., da Silva1, A.G.C.B., Arauj, D.N., et al, 2018. Increase in perceived stress is correlated to lower heart rate variability in healthy young subjects. Departamento de Fisioterapia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil. s/n., 81531–980, Curitiba, Parana, Brazil. E-mail: [email protected].). The physiological signal variation is analyzed by performing Heart Rate Variability (HRV) analysis over ECG signals which is one of the fast emerging methods in non-invasive research and clinical tools for assessing autonomic nervous system function (Juan Sztajzel, 2004. Heart rate variability: Aa non-invasive electrocardiographic method to measure the autonomic nervous system. Cardiology Center and Medical Policlinics, University Hospital, Geneva, Switzerland, SWISS MED WKLY 2004;134:514–522. www.smw.ch). Pulse-transmissiontime-variability (PTTV), which is extracted, has high coherence with heart rate variability and is also used as an objective measure of stress. In this paper we obtain the response of an individual during VR gaming and correlate them with the HRV/PTT parameters. The game chosen for the data acquisition was ‘VR city view rope crossing-360 android VR,’ during which data recording is done. It was found that there was a quantitative increase in physiological stress when individuals were exposed to virtual high heights in comparison with time relative to unaltered viewing. Mean Heart rate showed a significant increase during gaming for both boys and girls which indicates that the body is under the influence of a sympathetic activity like a physical exercise.

Download Full-text